Fundamentals of Signals and Systems Using the Web and MATLAB (3rd Edition)

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9780131687370: Fundamentals of Signals and Systems Using the Web and MATLAB (3rd Edition)
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With the presentation at an introductory level, the third edition of the book (2007 copyright) contains a comprehensive treatment of continuous-time and discrete-time signals and systems, with demos on the textbook website (users.ece.gatech.edu/~bonnie/book3), data downloaded from the Web, and illustrations of numerous MATLAB commands for the solution of a wide range of problems arising in engineering and in other fields such as financial data analysis. The book contains a large collection of examples and problems, and practical applications that use actual data dowloaded from the Web. It is shown how data can be downloaded and then imported into MATLAB for analysis by techniques covered in the text. Applications include data analysis in the presense of noise, with the focus on filtering noisy signals and the use of the discrete Fourier transform (DFT) to extract the dominant cyclic components of a signal (time series) from noisy measurements of the signal.

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Developed from Professor Kamen's best-selling text Introduction to Signals and Systems, this forward-looking new text presents accessible yet comprehensive analytical treatment of signals and systems and also incorporates a strong emphasis on solving problems and exploring concepts using MATLAB. A MATLAB tutorial is provided on a disk which is available for student/instructor use, and all examples in the text are developed in terms of the Student Edition of MATLABŪ.

From the Back Cover:

With a strong emphasis on solving problems and exploring concepts, this guidebook delivers an accessible yet comprehensive introduction to continuous-time and discrete-time signals and systems.Discusses how to download signals (time series) from the Web and analyze the data. Includes details on common types of digital filters, such as moving average and exponential moving average filters, with applications to filtering data downloaded from the Web. Addresses signal analysis using the DFT to extract the dominant cyclic components of a signal. Addresses the issue of noise, which often arises in engineering, business, finance, and other fields.For those interested in learning more about signals and systems.

 

 

 

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